kernelEstimate: Kernel Estimate
In aydindemircioglu/Rdrags: High-Dimensional Feature Selection via Dense Relevant Attribute Group Selector
Description
Usage
Arguments
Value
Description
Kernel Estimate
Usage
1
kernelEstimate(x1, x2, h, lambda, kernelType)
Arguments
x1
First data point
x2
Second data point
h
Bandwidth
lambda
Lambda, only used when KernelType is flat
kernelType
Type of the kernel to be used, either "gaussian" or "flat"
Value
Kernel value.
aydindemircioglu/Rdrags documentation built on May 14, 2019, 8 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value
Description
Kernel Estimate
Usage
1 | kernelEstimate(x1, x2, h, lambda, kernelType)
|
Arguments
x1 |
First data point |
x2 |
Second data point |
h |
Bandwidth |
lambda |
Lambda, only used when KernelType is flat |
kernelType |
Type of the kernel to be used, either "gaussian" or "flat" |
Value
Kernel value.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.